Efficient selection of experiments for enhancing performance in controlled environment agriculture

4. The one or more non-transitory computer-readable media of claim 3, wherein the one or more previous sets of setpoints are selected from the previous treatments that were applied to all of the one or more control volumes.

5. The one or more non-transitory computer-readable media of claim 3, wherein the chosen reproduction operation comprises a replication operation or a modification operation.

6. The one or more non-transitory computer-readable media of claim 5, wherein the modification operation is at least one of a crossover operation or a mutation operation.

7. The one or more non-transitory computer-readable media of claim 3, wherein the chosen reproduction operation comprises at least one of a crossover operation or a mutation operation.

8. The one or more non-transitory computer-readable media of claim 3, wherein choosing a reproduction operation comprises choosing a reproduction operation from a plurality of reproduction operations in proportion to a reproduction proportion.

9. The one or more non-transitory computer-readable media of claim 3, wherein the reproduction operation comprises a crossover operation and determining a treatment is based at least in part upon a genetic algorithm to select two or more previous sets of setpoints for the crossover operation.

10. The one or more non-transitory computer-readable media of claim 3, wherein determining a treatment is based at least in part upon one or more fitness scores of the one or more previous treatments.

11. The one or more non-transitory computer-readable media of claim 10, wherein the one or more fitness scores are based at least in part upon harvest weight, cost, or an energy-related metric.

12. The one or more non-transitory computer-readable media of claim 3, wherein determining a treatment comprises selecting one or more previous sets of setpoints from the one or more previous treatments that each has a corresponding fitness score that satisfies a fitness threshold.

13. The one or more non-transitory computer-readable media of claim 3, wherein determining a treatment comprises selecting one or more previous sets of setpoints from the one or more previous treatments based at least in part upon fitness proportionate selection.

14. The one or more non-transitory computer-readable media of claim 3, wherein determining a treatment comprises randomly selecting one or more previous sets of setpoints.

15. The one or more non-transitory computer-readable media of claim 3, wherein the chosen reproduction operation is a replication operation, and determining a treatment comprises selecting a previous set of setpoints from the previous treatments that each have a fitness score that satisfies a replication threshold.

16. The one or more non-transitory computer-readable media of claim 15, storing further instructions that, when executed, cause at least one of the one or more computing devices to, for at least two subsequent iterations for a control volume, adjust the replication threshold.

17. The one or more non-transitory computer-readable media of claim 3, wherein the chosen reproduction operation is a modification operation, and determining a treatment comprises selecting previous sets of setpoints from the previous treatments that each have a fitness score that satisfies a modification threshold.

18. The one or more non-transitory computer-readable media of claim 17, storing further instructions that, when executed, cause at least one of the one or more computing devices to, for at least two subsequent iterations for a control volume, adjust the modification threshold.

19. The one or more non-transitory computer-readable media of claim 3, wherein the determined treatment for each iteration corresponds to a determined set of setpoints, of the one or more previous sets of setpoints, to be applied to the control volume, the computer-readable media storing further instructions that, when executed, cause at least one of the one or more computing devices to repeat a.-b. to determine one or more first setpoints of the determined set of setpoints until a tier-level termination condition is satisfied for the one or more first setpoints, and thereafter repeat a.-b. to determine one or more second setpoints of the determined set of setpoints.

20. The one or more non-transitory computer-readable media of claim 3, wherein the determined treatment for each iteration corresponds to a determined set of setpoints, of the one or more previous sets of setpoints, to be applied to the control volume, one or more first setpoints of the determined set of setpoints are setpoints applicable to the control volume, and one or more second setpoints of the determined set of setpoints are setpoints applicable to one or more multi-plant support structures within the control volume but not to the entire control volume itself.

21. The one or more non-transitory computer-readable media of claim 3, wherein the termination condition is based at least in part upon time, number of iterations, limit of one or more setpoints, fitness score variation limit, or attainment of a target fitness score.

22. The one or more non-transitory computer-readable media of claim 3, wherein each control volume includes one or more plants of the same variety.

23. The one or more non-transitory computer-readable media of claim 3, wherein the start time of an ith iteration for one control volume does not necessarily coincide with the start time of an ith iteration for another control volume.

24. The one or more non-transitory computer-readable media of claim 3, wherein the chosen reproduction operation is a crossover operation, and determining a treatment comprises selecting at least two previous sets of setpoints based at least in part upon a probability of selection, Pi, wherein Pi is based at least in part upon a square of a fitness score for an ith previous set of setpoints of a previous treatment.

25. The one or more non-transitory computer-readable media of claim 8, storing further instructions that, when executed, cause at least one of the one or more computing devices to, for at least two subsequent iterations for a control volume, adjust the reproduction proportion.

26. The one or more non-transitory computer-readable media of claim 3, wherein the treatments include one or more of light spectrum, light intensity, light duration, CO2 concentration, air temperature, humidity, nutrient solution EC, or nutrient solution pH.

27. The one or more non-transitory computer-readable media of claim 3, storing further instructions that, when executed, cause at least one of the one or more computing devices to apply the determined treatment to the control volume.

28. The one or more non-transitory computer-readable media of claim 3, storing further instructions that, when executed, cause at least one of the one or more computing devices to, for the current iteration, choose a second reproduction operation from the plurality of reproduction operations to determine the treatment to be applied to the control volume.

29. The one or more non-transitory computer-readable media of claim 3, wherein the one or more control volumes are grow spaces used for experimental purposes, and the determined treatment is applied to at least one of the one or more control volumes.

30. The one or more non-transitory computer-readable media of claim 3, wherein, after a termination condition is reached, the determined treatment is applied to a production control volume that is a plant grow space used for production purposes.

31. The one or more non-transitory computer-readable media of claim 3, wherein the one or more previous sets of setpoints are based at least in part upon measured setpoint values.

32. The one or more non-transitory computer-readable media of claim 10, wherein the one or more fitness scores is based at least in part upon plant quality.